In view of the full integration of informationization and industrialization in China, ,an evaluation model of Chinas Regional Integration of Informationization and Industrialization is built on the basis of the summary of the findings at home and abroad, thus to get a general idea about Chinas Integration of Informationization and Industrialization in a quantitative way. In terms of the popularization level of the social informatization, the development level of the information industry, the level of industrialization and the level of industrial integration, 27 indicators are defined, and the evaluation system for Chinas regional integration of informationization and industrialization is built. On the basis of the actual data of Chinas regional integration of informationization and industrialization in 2011, the principal component analysis method is adopted to evaluate the integration of informationization and industrialization in different regions, analyze the equilibrium degree between the fractal dimensions of the integration, discover its structural differences, and propose specific policy recommendations according to the actual conditions of different regions.

With the rapid development of computer technology and wireless network communication technology, video encoding technology will be more and more widely applied in the limited resources of the wireless network. Due to the large amount of data of the video transmission , transmission quality of transmit video on the wireless network are varied with different compression parameters, network parameters and network conditions. Simulation results show that the transmission of video over wireless networks, must be based on the current network conditions, choosing the suitable GOP length and quantitative parameters to get the high image quality. In specific applications, network topology, network bandwidth, routing technology and transmission of packet segmentation scheme and other factors will affect the quality of service for video services.

According to the practical requirements of filling refrigerants of refrigeration maintenance industries, an high-precision measuring and control system for refrigerant with MSP430 is designed in this paper. High-precision weighing sensor and high-performance amplifier are adopted in the hardware structure, and an improved amplitude-limiting and shake-disappearing filtering algorithm is used in the software data processing. The design is capable of not only achieving the purification and recycling of refrigerant effluent, but also conducting the functions of pressing, vacuumizing and leaking hunting of both high and low pressure. The actual results in the practical refrigeration maintenance industry show that this measuring and control system precision can reach0.5, which is reliable in operation, good in stability and capable of solving the problem that the discharge of waste refrigerant may pollute the environment.

This paper introduces the architecture of wireless sensor networks, compares several typical routing protocols of wireless sensor network, and focuses on the research of directed diffusion(DD) protocol and geograohic and energy aware routing(GEAR) protocol. GEAR selects the next hop nodes based on the neighbor node location information, limiting the information diffused in the network in the appropriate location of region, which can effectively reduce the maintaining routing information needed for overhead, and form the energy efficient data transmission path, to achieve the purpose of extending the life cycle of the network. Related research work provides the reference for the future network construction.

An on-demand weighed clustering algorithm is proposed against the limitation of wireless sensor network nodes with limited energy. This algorithm obtains more local network information by means of information interaction between nodes, and by comprehensively considering such factors as the current energy value, degree and transmission power, etc. of nodes, it makes different clustering decisions as per different application backgrounds of networks. Simulation results show that this algorithm has a more rational clustering by reducing energy consumption and lengthening network lifetime, compared to Low Energy Adaptive Clustering Hierarchy, a representative clustering algorithm.